{"id": 1227951, "name": "Number of attendees", "unit": "attendees", "createdAt": "2026-04-24T10:39:36.000Z", "updatedAt": "2026-04-24T10:39:36.000Z", "coverage": "", "timespan": "2010-2025", "datasetId": 7803, "columnOrder": 0, "shortName": "attendees", "catalogPath": "grapher/artificial_intelligence/2026-04-20/ai_index/ai_conferences#attendees", "descriptionShort": "Number of people attending major AI research conferences, including in-person, online, and hybrid participants.", "type": "int", "grapherConfigIdETL": "019dbf12-d8a0-79d4-9456-4413e8c0e5f7", "datasetName": "AI Index Report", "updatePeriodDays": 365, "datasetVersion": "2026-04-20", "nonRedistributable": false, "display": {"unit": "attendees", "numDecimalPlaces": 0}, "schemaVersion": 2, "processingLevel": "minor", "presentation": {"topicTagsLinks": ["Artificial Intelligence"]}, "descriptionKey": ["Covers a set of major AI conferences tracked by the AI Index, including large events such as NeurIPS, ICML, and CVPR.", "Conferences are an important way researchers share new work and engage with the wider AI community.", "Attendance includes people joining in person, online, or in hybrid formats.", "Many conferences have moved online or to hybrid formats in recent years, which can increase participation and make comparisons over time less straightforward.", "Figures are based on data reported by conference organizers or published online."], "dimensions": {"years": {"values": [{"id": 2010}, {"id": 2011}, {"id": 2012}, {"id": 2013}, {"id": 2014}, {"id": 2015}, {"id": 2016}, {"id": 2017}, {"id": 2018}, {"id": 2019}, {"id": 2020}, {"id": 2021}, {"id": 2022}, {"id": 2023}, {"id": 2024}, {"id": 2025}]}, "entities": {"values": [{"id": 275764, "name": "AAAI", "code": null}, {"id": 275768, "name": "ACL", "code": null}, {"id": 275763, "name": "CVPR", "code": null}, {"id": 275757, "name": "EMNLP", "code": null}, {"id": 275756, "name": "ICCV", "code": null}, {"id": 275767, "name": "ICLR", "code": null}, {"id": 275762, "name": "ICML", "code": null}, {"id": 275766, "name": "ICRA", "code": null}, {"id": 275765, "name": "IJCAI", "code": null}, {"id": 275760, "name": "IROS", "code": null}, {"id": 275761, "name": "NeurIPS", "code": null}, {"id": 34678, "name": "Total", "code": null}]}}, "origins": [{"id": 14378, "title": "AI Index Report", "description": "The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence (AI). The mission is to provide unbiased, rigorously vetted, broadly sourced data to enable policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI.", "producer": "AI Index Report", "citationFull": "Sha Sajadieh, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Lapo Santarlasci, Juan Pava, Nestor Maslej, Russ Altman, Erik Brynjolfsson, Carla Brodley, Jack Clark, Virginia Dignum, Vipin Kumar, James Landay, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Elham Tabassi, Russell Wald, Toby Walsh, Dan Weld. \u201cThe AI Index 2026 Annual Report,\u201d AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2026.", "attributionShort": "AI Index Report", "urlMain": "https://hai.stanford.edu/assets/files/ai_index_report_2026.pdf", "dateAccessed": "2026-04-20", "datePublished": "2026-04-13", "license": {"url": "https://hai.stanford.edu/assets/files/ai_index_report_2026.pdf", "name": "CC BY-ND 4.0"}}]}